qgrid | An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks | Grid library
kandi X-RAY | qgrid Summary
kandi X-RAY | qgrid Summary
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
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Top functions reviewed by kandi - BETA
- Read json data from file
- Parse the object
- Try to convert the axes to the appropriate object
- Try to coerce data
- Build a table schema
- Convert an object to a JSON table type
- Make a JSON Schema field
- Set default index names
- Convert obj to JSON string
- Convert string to line delimits
- Registers a handler function
- Register a handler function
- Normalize data structure
- Convert a nested dict to a record
- Parse numpy ndarray
- Return a list of package files
- Try to convert the data
- Check extras
- Try to convert the data to the appropriate types
- Disable dataframe
- Parse JSON from JSON
- Remove a handler function
- Parse the JSON from the JSON response
- Parse a numpy ndarray
- Decorator for js dependencies
- Read a requirements file
qgrid Key Features
qgrid Examples and Code Snippets
Lines of Code : 2
License : No License
Copypip install qgrid
jupyter labextension install @8080labs/qgrid
pip install -r requirements.txt
1. Assume you have conda environment called "myenv"
2. Assume you have jupyter-lab installed in that environment
source activate myenv
pip install qgrid
jupyter labextension install qgrid
jupyter labextension instaimport sys
from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QAction, QTableWidget, QTableWidgetItem, QVBoxLayout
# from PyQt5.QtGui import QIcon
from PyQt5.QtCore import pyqtSlot
class App(QWidget):
def __init__(self)qw = qgrid.show_grid(df_types, show_toolbar=True)
qw._handle_qgrid_msg_helper({
'type': 'show_filter_dropdown',
'field': 'F',
'search_val': 'bar'
})
qw._handle_qgrid_msg_helper({
'field': "F",
'f"cryptography": {
"version": "2.8"
}
>>> a = 1
>>> a # prints 1 because in global scope
>>> def foo():
a = 2
a # prints nothing, even though a value is returned to the REPL
>>> foo()
>>> def baz(import plotly.plotly as py
import plotly.offline as py
py.init_notebook_mode(connected=False)
self.tableWidget.setItem(0, 0, QTableWidgetItem("Cell (1,1)"))
py -m name_of_your_initial_package install --upgrade name_of_your_initial_package.
py -m proto-google-cloud-vision-v1 install --upgrade proto-google-cloud-vision-v1
py -m pip install proto-Community Discussions
Trending Discussions on qgrid
QUESTION
ANSWER
Answered 2020-Dec-07 at 16:37This should do the trick:
QUESTION
I have this two views:
...ANSWER
Answered 2020-Nov-30 at 23:10Try using onAppear instead of init
QUESTION
I have this code:
...ANSWER
Answered 2020-Nov-30 at 16:09You need to initialize canales variable inside the VerCanales view init.
QUESTION
I am developing an App with the following ContentView Structure
...ANSWER
Answered 2020-Mar-19 at 20:25Try the following (cannot test it due to many dependencies absent, so just idea)
QUESTION
I'm building a jupyter notebook that uses some interactive widgets to help move through some dataframes. My jupyter and python experience is limited, and most of my notebook so far is recreating consolidations and calculations I'd previously created in a series of Excel PivotTables.
The first try at an interactive widget worked ok. It calls up the dataframe, with a sliding widget to limit returned rows by the result of a column (how many days was an assignment opened):
...ANSWER
Answered 2020-Feb-17 at 09:43Note that interact behaves differently to the interactive decorator. When using interact, the first argument should be a function/callable that gets called when you change any of the widgets. You passed in the dataframe df as the first argument, and therefore interact is trying to call df as a function with the start_date and end_date keywords. Hence the error, as dataframes are not callable.
Have a look at the documentation for examples, you probably want to build a simple function to filter your dataframe, and use that function name as the first argument to interact.
https://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html#Basic-interact
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install qgrid
You can use qgrid like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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